This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the imagefolder dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.1009
eval_accuracy: 0.9611
eval_runtime: 193.4052
eval_samples_per_second: 63.85
eval_steps_per_second: 1.996
epoch: 5.0
step: 2730
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
